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`langgraph dev` defaults `n_jobs_per_worker` to 1 when the flag is not explicitly passed (see langgraph_api/cli.py), even though the `N_JOBS_PER_WORKER` env-var default is 10. This causes the LangGraph server to run with a single background worker, meaning all conversation runs are processed serially. When one run is busy (e.g. summarization or long tool-calling chains), all other threads are blocked until it finishes. Add `--n-jobs-per-worker 10` to both production and dev Docker Compose files to match the intended default concurrency.